Inhalt

[ TM1WCUEMARK ] UE Markov chains

Versionsauswahl
Es ist eine neuere Version 2023W dieser LV im Curriculum Master's programme Industrial Mathematics 2023W vorhanden.
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Workload Education level Study areas Responsible person Hours per week Coordinating university
1,5 ECTS B3 - Bachelor's programme 3. year Mathematics Dmitry Efrosinin 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Technical Mathematics 2012W
Objectives Exercises for the lecture Markov-chains
Subject Materials of the lecture
Criteria for evaluation The evaluation consists of attendance, number of examples ticked off and blackboard performance
Methods Every week, a list of exercises is made available for download in the accompanying Moodle course. The participants have to mark the tasks they have solved themselves in a list before the exercise. Further details will be provided in the first exercise lesson or via email. Based on the examples marked with a cross, the respective students will pre-calculate them after calling them up on the blackboard.
Language German
Study material script
Changing subject? No
On-site course
Maximum number of participants 25
Assignment procedure Direct assignment